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Cumulative Frequency Distribution

Statistics • Organizing and Graphing Data

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Cumulative Frequency Distribution

Enter raw quantitative data and this tool will build a grouped frequency distribution and its cumulative version: cumulative frequency, cumulative relative frequency, and cumulative percentage. It also draws the ogive (cumulative frequency graph) using class boundaries on the horizontal axis.

Type the observations as numbers. You may separate them with spaces, commas, semicolons, or line breaks (for example: 5 9 12 18 20 22).

Leave blank for an automatic choice (around 5–12 classes), or enter a value between 3 and 20.

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Frequently Asked Questions

What is a cumulative frequency distribution?

A cumulative frequency distribution lists the running total of frequencies up to each class, showing how many observations are at or below each upper class boundary. It helps answer questions like how many values are less than or equal to a given cutoff.

How is cumulative frequency calculated from class frequencies?

If class frequencies are f1, f2, ..., fk in order, the cumulative frequency for class j is Fj = f1 + f2 + ... + fj. The last cumulative frequency equals the total number of observations.

How do I compute cumulative relative frequency and cumulative percentage?

With total N, cumulative relative frequency for class j is Fj / N. Cumulative percentage is (Fj / N) x 100, and it increases from about 0% up to about 100% (allowing for rounding).

What is an ogive and how is it used?

An ogive is the cumulative frequency graph created by plotting cumulative frequencies against upper class boundaries and connecting the points with line segments. It allows approximate cumulative counts or proportions to be read for values along the horizontal axis.

How should I choose the number of classes?

Fewer classes give a simpler summary, while more classes show more detail but can look jagged. Leaving the number of classes blank lets the calculator choose an automatic value in a typical range.